I am utilizing your CommunityGAN method, but unclear about the way you evaluate the predicted communities in the validation set.
In your paper, you said:
"We reserve 20% of links for validation and learn the model parameters with the remaining 80% of links for different C. After that, we use the learned parameters to predict the links in validation set and select the C with the maximum prediction score as the number of communities."
I am doing community detection using data without ground-truth communities. Could you tell me how can I compute the prediction score of test data in this case?
Dear Jia,
I am utilizing your CommunityGAN method, but unclear about the way you evaluate the predicted communities in the validation set.
In your paper, you said: "We reserve 20% of links for validation and learn the model parameters with the remaining 80% of links for different C. After that, we use the learned parameters to predict the links in validation set and select the C with the maximum prediction score as the number of communities."
I am doing community detection using data without ground-truth communities. Could you tell me how can I compute the prediction score of test data in this case?
Thank you.
Best Regards, Caly